Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor

Mingji Liu; Hongjin Li; Zhongqin Cai; Chuan Gao; Huan Hu; Kai Lu

doi:10.1109/SPIES55999.2022.10082011

Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor

Mingji Liu^*
, Hongjin Li
, Zhongqin Cai
, Chuan Gao
, Huan Hu
, Kai Lu

^*Corresponding author for this work

North China Electric Power University
School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The predictive current control (PCC) system of permanent magnet synchronous motor (PMSM) has the advantages of fast dynamic response and easy digital realization. However, when the speed of the PMSM is high, the carrier wave ratio of the inverter is low. The discrete model derived from the forward Euler method commonly used in traditional methods has large model error. As a result, it is difficult to control the d-axis and q-axis currents to follow their given values precisely. In this paper, an improved PCC method for the high-speed PMSM with a low carrier wave ratio is adopted, which is composed of a discrete model considering the change of rotor position within one sampling period and a multi-sampling robust PCC strategy. Multi-sampling robust PCC enhances the robustness of the controller to the model error and the parameter mismatch. Through the simulation on MATLAB/Simulink platform, it is proved that the PCC strategy can make the current of high-speed PMSM follow the given value well, reduce the harmonic content of the current, and has good robustness to the parameter mismatch.

Original language	English
Title of host publication	2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	929-934
Number of pages	6
ISBN (Electronic)	9781665489577
DOIs	https://doi.org/10.1109/SPIES55999.2022.10082011
State	Published - 2022
Externally published	Yes
Event	4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022 - Beijing, China Duration: 9 Dec 2022 → 12 Dec 2022

Publication series

Name	2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022

Conference

Conference	4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
Country/Territory	China
City	Beijing
Period	9/12/22 → 12/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

current Static difference
deadbeat prediction control
low carrier wave ratio
multi-sampling
robustness

Access to Document

10.1109/SPIES55999.2022.10082011

Cite this

Liu, M., Li, H., Cai, Z., Gao, C., Hu, H., & Lu, K. (2022). Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor. In 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022 (pp. 929-934). (2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPIES55999.2022.10082011

Liu, Mingji ; Li, Hongjin ; Cai, Zhongqin et al. / Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor. 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 929-934 (2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022).

@inproceedings{5c592d05cc744303a43548e287ee7001,

title = "Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor",

abstract = "The predictive current control (PCC) system of permanent magnet synchronous motor (PMSM) has the advantages of fast dynamic response and easy digital realization. However, when the speed of the PMSM is high, the carrier wave ratio of the inverter is low. The discrete model derived from the forward Euler method commonly used in traditional methods has large model error. As a result, it is difficult to control the d-axis and q-axis currents to follow their given values precisely. In this paper, an improved PCC method for the high-speed PMSM with a low carrier wave ratio is adopted, which is composed of a discrete model considering the change of rotor position within one sampling period and a multi-sampling robust PCC strategy. Multi-sampling robust PCC enhances the robustness of the controller to the model error and the parameter mismatch. Through the simulation on MATLAB/Simulink platform, it is proved that the PCC strategy can make the current of high-speed PMSM follow the given value well, reduce the harmonic content of the current, and has good robustness to the parameter mismatch.",

keywords = "current Static difference, deadbeat prediction control, low carrier wave ratio, multi-sampling, robustness",

author = "Mingji Liu and Hongjin Li and Zhongqin Cai and Chuan Gao and Huan Hu and Kai Lu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022 ; Conference date: 09-12-2022 Through 12-12-2022",

year = "2022",

doi = "10.1109/SPIES55999.2022.10082011",

language = "英语",

series = "2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "929--934",

booktitle = "2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022",

address = "美国",

}

Liu, M, Li, H, Cai, Z, Gao, C, Hu, H & Lu, K 2022, Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor. in 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022. 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022, Institute of Electrical and Electronics Engineers Inc., pp. 929-934, 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022, Beijing, China, 9/12/22. https://doi.org/10.1109/SPIES55999.2022.10082011

Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor. / Liu, Mingji; Li, Hongjin; Cai, Zhongqin et al.
2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 929-934 (2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor

AU - Liu, Mingji

AU - Li, Hongjin

AU - Cai, Zhongqin

AU - Gao, Chuan

AU - Hu, Huan

AU - Lu, Kai

PY - 2022

Y1 - 2022

N2 - The predictive current control (PCC) system of permanent magnet synchronous motor (PMSM) has the advantages of fast dynamic response and easy digital realization. However, when the speed of the PMSM is high, the carrier wave ratio of the inverter is low. The discrete model derived from the forward Euler method commonly used in traditional methods has large model error. As a result, it is difficult to control the d-axis and q-axis currents to follow their given values precisely. In this paper, an improved PCC method for the high-speed PMSM with a low carrier wave ratio is adopted, which is composed of a discrete model considering the change of rotor position within one sampling period and a multi-sampling robust PCC strategy. Multi-sampling robust PCC enhances the robustness of the controller to the model error and the parameter mismatch. Through the simulation on MATLAB/Simulink platform, it is proved that the PCC strategy can make the current of high-speed PMSM follow the given value well, reduce the harmonic content of the current, and has good robustness to the parameter mismatch.

AB - The predictive current control (PCC) system of permanent magnet synchronous motor (PMSM) has the advantages of fast dynamic response and easy digital realization. However, when the speed of the PMSM is high, the carrier wave ratio of the inverter is low. The discrete model derived from the forward Euler method commonly used in traditional methods has large model error. As a result, it is difficult to control the d-axis and q-axis currents to follow their given values precisely. In this paper, an improved PCC method for the high-speed PMSM with a low carrier wave ratio is adopted, which is composed of a discrete model considering the change of rotor position within one sampling period and a multi-sampling robust PCC strategy. Multi-sampling robust PCC enhances the robustness of the controller to the model error and the parameter mismatch. Through the simulation on MATLAB/Simulink platform, it is proved that the PCC strategy can make the current of high-speed PMSM follow the given value well, reduce the harmonic content of the current, and has good robustness to the parameter mismatch.

KW - current Static difference

KW - deadbeat prediction control

KW - low carrier wave ratio

KW - multi-sampling

KW - robustness

UR - https://www.scopus.com/pages/publications/85153372671

U2 - 10.1109/SPIES55999.2022.10082011

DO - 10.1109/SPIES55999.2022.10082011

M3 - 会议稿件

AN - SCOPUS:85153372671

T3 - 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022

SP - 929

EP - 934

BT - 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022

Y2 - 9 December 2022 through 12 December 2022

ER -

Liu M, Li H, Cai Z, Gao C, Hu H, Lu K. Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor. In 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 929-934. (2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022). doi: 10.1109/SPIES55999.2022.10082011

Multisampling Robust Predictive Current Control for High Speed Permanent Magnet Synchronous Motor

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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